Update lane_detection_research.md

doc/research/paf24/perception/lane_detection_research.md

@@ -36,7 +36,9 @@ backpropagation mechanism.
 ### SCNN_UNet_Attention_PL Advantages
 
 - Robustness: The model is robust against difficult scenarios such as glare, shadows or obscured lines, which is ideal for simulating realistic road conditions.
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 - Training efficiency: Due to its fast convergence, it can be trained and implemented with moderate resource requirements.
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 - Continuous lane tracking: By processing multiple image sequences, the model provides reliable recognition results in dynamic driving scenarios.
 
 ### SCNN_UNet_Attention_PL Disadvantages